| Price | PSF | Size | Date | Type |
|---|
|
RM310,000
|
RM115
|
2,691 sqft
|
|
|
|
RM317,000
|
RM118
|
2,691 sqft
|
|
|
|
RM330,000
|
RM113
|
2,928 sqft
|
|
|
RM480,000
|
RM85
|
5,640 sqft
|
|
|
|
RM450,000
|
RM80
|
5,651 sqft
|
|
|
RM460,000
|
RM66
|
6,964 sqft
|
|
|
|
RM480,000
|
RM79
|
6,082 sqft
|
|
|
RM420,000
|
RM146
|
2,874 sqft
|
|
|
RM365,000
|
RM92
|
3,983 sqft
|
|
Selling in Banggol Katong? Homes here sold for a median of RM400,000.
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Nearby areas in Alur Limbat
Taman Rawai Perdana
Rawai
Tasek
Alur Limbat
Binjai Rendah
Park Cherang Guling
Bukit Payong
Durian Guling
Taman Desa Salam (Mr 29-00)
Banggol Katong
Padang Limau Nipis
Telaga Mengkudu
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Alur Limbat
Market Snapshot
ResidentialRM455,000
RM76 psfMedian transaction price
Banggol Katong in Marang, Terengganu recorded 11 subsale transactions between 2021 and 2026, with a median price of RM400K and a median price per square foot (PSF) of RM85.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM400K, with most transactions falling within a stable range of RM330K to RM470K, and a typical market range of RM334K to RM466K.
Most transactions involved detached, with moderate diversity in property types available.
The median PSF stands at RM85, with core pricing between RM71 and RM99. Market pricing typically extends from RM66.10 to RM104.10, reflecting moderate variation in unit pricing. The spread of RM38.00 (IQR) and deviation of RM14 (MAD) suggest moderate price variations reflecting different property features.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.